Skip to main content
Kent Academic Repository

Using a model of the performance measures in Soft Systems Methodology (SSM) to take action: a case study in health care

Kotiadis, K., Tako, A.A., Rouwette, E.A.J.A., Vasilakis, C., Brennan, J., Gandhi, P., Wegstapel, H., Sagias, F., Webb, P. (2013) Using a model of the performance measures in Soft Systems Methodology (SSM) to take action: a case study in health care. Journal of the Operational Research Society, 64 (1). pp. 125-137. ISSN 0160-5682. E-ISSN 1476-9360. (doi:10.1057/jors.2012.21) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91531)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://doi.org/10.1057/jors.2012.21

Abstract

This paper uses a case study of a multidisciplinary colorectal cancer team in health care to explain how a model of performance measures can lead to debate and action in Soft System Methodology (SSM). This study gives a greater emphasis and role to the performance measures than currently given in typical SSM studies. Currently, the concept of performance measurement in SSM is in the form of a set of criteria used to judge the performance of the SSM model (the purposeful activity model). These performance criteria are definitions of efficacy, efficiency, effectiveness, ethicality and elegance. However, the use of performance measures within SSM is not clear and therefore criticized by some as nebulous. This paper uses a case study to explain how to involve the stakeholders in deriving a performance measurement model (PMM), which is a more detailed expansion of the performance criteria. The paper concludes with some reflections about how the PMM can fit in the SSM cycle, with two modes of practice put forward.

Item Type: Article
DOI/Identification number: 10.1057/jors.2012.21
Uncontrolled keywords: SSM; Measures of performance; Facilitation; Multidisciplinary teams; Health service; Practice of OR
Subjects: T Technology
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Kathy Kotiadis
Date Deposited: 11 Nov 2021 21:03 UTC
Last Modified: 12 Nov 2021 09:50 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/91531 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.